Statistical Analysis of Pseudoexfoliation Syndrome Prevalence, Glaucoma and Coronary Artery Disease of the Patients with Cataract

Cataract is a common disease of the eye and cataract development is usually a very gradual process of normal aging. Many people with cataract disease can also have pseudoexfoliation (PEX) syndrome, glaucoma and coronary artery disease (CHD). We use the data from the Department of Ophthalmology, Medi...

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Autores principales: Xu, Yong, Cosmas, Nicolaos, Gartaganis, Sotirios
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Master Publishing Group 2011
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3614809/
https://www.ncbi.nlm.nih.gov/pubmed/23675218
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author Xu, Yong
Cosmas, Nicolaos
Gartaganis, Sotirios
author_facet Xu, Yong
Cosmas, Nicolaos
Gartaganis, Sotirios
author_sort Xu, Yong
collection PubMed
description Cataract is a common disease of the eye and cataract development is usually a very gradual process of normal aging. Many people with cataract disease can also have pseudoexfoliation (PEX) syndrome, glaucoma and coronary artery disease (CHD). We use the data from the Department of Ophthalmology, Medical School of the University of Patras, Greece. These data contains 2140 Greek patients from the southwestern Greece with cataract disease. In order to investigate the association between any two variables statistical analysis were studied. Considering the binary behavior of the response we decide to use non parametric analysis in this study to deal with the testing the populations mean with different distributions.
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spelling pubmed-36148092013-05-01 Statistical Analysis of Pseudoexfoliation Syndrome Prevalence, Glaucoma and Coronary Artery Disease of the Patients with Cataract Xu, Yong Cosmas, Nicolaos Gartaganis, Sotirios Int J Biomed Sci Article Cataract is a common disease of the eye and cataract development is usually a very gradual process of normal aging. Many people with cataract disease can also have pseudoexfoliation (PEX) syndrome, glaucoma and coronary artery disease (CHD). We use the data from the Department of Ophthalmology, Medical School of the University of Patras, Greece. These data contains 2140 Greek patients from the southwestern Greece with cataract disease. In order to investigate the association between any two variables statistical analysis were studied. Considering the binary behavior of the response we decide to use non parametric analysis in this study to deal with the testing the populations mean with different distributions. Master Publishing Group 2011-03 /pmc/articles/PMC3614809/ /pubmed/23675218 Text en © Yong Xu et al. Licensee Master Publishing Group http://creativecommons.org/licenses/by/2.5/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.5/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Article
Xu, Yong
Cosmas, Nicolaos
Gartaganis, Sotirios
Statistical Analysis of Pseudoexfoliation Syndrome Prevalence, Glaucoma and Coronary Artery Disease of the Patients with Cataract
title Statistical Analysis of Pseudoexfoliation Syndrome Prevalence, Glaucoma and Coronary Artery Disease of the Patients with Cataract
title_full Statistical Analysis of Pseudoexfoliation Syndrome Prevalence, Glaucoma and Coronary Artery Disease of the Patients with Cataract
title_fullStr Statistical Analysis of Pseudoexfoliation Syndrome Prevalence, Glaucoma and Coronary Artery Disease of the Patients with Cataract
title_full_unstemmed Statistical Analysis of Pseudoexfoliation Syndrome Prevalence, Glaucoma and Coronary Artery Disease of the Patients with Cataract
title_short Statistical Analysis of Pseudoexfoliation Syndrome Prevalence, Glaucoma and Coronary Artery Disease of the Patients with Cataract
title_sort statistical analysis of pseudoexfoliation syndrome prevalence, glaucoma and coronary artery disease of the patients with cataract
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3614809/
https://www.ncbi.nlm.nih.gov/pubmed/23675218
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